📦 deps(thirdparty): update snapshots

2026-06-06 16:01:57 +00:00
parent 0b1862e551
commit 772a1da63c
293 changed files with 25299 additions and 369 deletions
@@ -0,0 +1,77 @@
+"""
+generate_post.py — LinkedIn Post Prompt Builder
+
+Usage:
+  python generate_post.py --topic "<topic>" --niche "<niche>" [--tone <tone>] [--style <style>]
+
+Tone: professional | storytelling | controversial | educational | motivational
+Style: text-only | list-based | storytelling | data-driven | contrarian
+"""
+
+import argparse
+import sys
+import os
+
+SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
+sys.path.insert(0, SCRIPT_DIR)
+from utils import get_base_prompt_context
+
+TONE_GUIDE = {
+    "professional":  "Write with authority and expertise. Clear, polished, data-backed where possible.",
+    "storytelling":  "Lead with a personal story or narrative. Make the reader feel something before delivering the insight.",
+    "controversial": "Take a bold, contrarian stance. Challenge the conventional wisdom in the niche. Prepare for debate.",
+    "educational":   "Break down a complex concept simply. Use analogies, numbered steps, or mini-frameworks.",
+    "motivational":  "Inspire and energize. Use strong action verbs. Make the reader feel capable and driven.",
+}
+
+STYLE_GUIDE = {
+    "text-only":   "Write as flowing text paragraphs. No bullet points. Pure conversational prose.",
+    "list-based":  "Structure the core value as a numbered or bulleted list. Maximum 7 items.",
+    "storytelling":"Write as a narrative arc: Setup → Conflict → Resolution → Lesson.",
+    "data-driven": "Anchor every key point with a statistic, study, or concrete example.",
+    "contrarian":  "Start by stating what everyone believes, then flip it. Use 'But here's what they miss:' or similar.",
+}
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Generate a LinkedIn Post prompt")
+    parser.add_argument("--topic", required=True)
+    parser.add_argument("--niche", required=True)
+    parser.add_argument("--tone", required=False, default="professional", choices=list(TONE_GUIDE.keys()))
+    parser.add_argument("--style", required=False, default="list-based", choices=list(STYLE_GUIDE.keys()))
+
+    args = parser.parse_args()
+
+    tone_instruction  = TONE_GUIDE.get(args.tone, TONE_GUIDE["professional"])
+    style_instruction = STYLE_GUIDE.get(args.style, STYLE_GUIDE["list-based"])
+    context = get_base_prompt_context(args.niche, "LinkedIn Text Post")
+
+    prompt = f"""{context}
+
+<TASK>
+Generate a single, ready-to-publish LinkedIn post.
+
+**Topic**: {args.topic}
+**Niche**: {args.niche}
+**Tone**: {tone_instruction}
+**Style**: {style_instruction}
+
+Mandatory output structure:
+1. Hook (2 lines — scroll-stopping)
+2. [blank line]
+3. Body (follow tone + style instructions)
+4. [blank line]
+5. Key Takeaway (1-2 punchy sentences)
+6. [blank line]
+7. CTA (specific, value-driven)
+8. [blank line]
+9. Hashtags (3-5 only)
+
+Output ONLY the final post. No preamble. Ready to paste into LinkedIn.
+</TASK>"""
+
+    print(prompt)
+
+
+if __name__ == "__main__":
+    main()